Abstract: In order to realize safety assessment for vehicles operating and improve the driving safety of vehicles on long Slope downhill sections, thus road risk warning model is established. By analyzing the three categories of indicators based on persion, vehicles, and roads. Providing a feasible early warning method for road vehicles. The weights of each index are calculated by using the G1 method and group decision theory. The cloud model is used to establish the index threshold division through the qualitative to quantitative transformation process. Finally, the risk index level is evaluated by taking the measured data of the test vehicles A and B at a long downhill section of the G5 Jingkun Expressway as an example. The results show that the early warning model of the traffic risk of the long slope downhill section based on the uncertainty analysis can effectively realize the qualitative judgment of the vehicle's risk level in the long downhill section, thus achieving the short-term warning.

CICTP